JSM 2005 Online Program

Abstract #304831

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	260
Type:	Topic Contributed
Date/Time:	Tuesday, August 9, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Government Statistics
Abstract - #304831
Title:	Deciphering the DSF: Which Addresses from the Delivery Sequence File Should Be Included in the Sampling Frames for Demographic Surveys?
Author(s):	Clifford L. Loudermilk*+ and Timothy Lynn Kennel
Companies:	U.S. Census Bureau and U.S. Census Bureau
Address:	, Washington, DC, 20233,
Keywords:	Filter ; Master Address File ; American Community Survey ; Delivery Sequence File ; LACS ; Duplication
Abstract:	The Master Address File (MAF), a national inventory of addresses maintained by the U.S. Census Bureau, is based on addresses from decennial censuses and continuously updated by many operations. The primary source of new addresses between censuses is the Delivery Sequence File (DSF), a file of mail delivery points from the U.S. Postal Service. The American Community Survey (ACS) currently uses the MAF as its sole source of addresses for its housing unit sampling frame, and it is likely that other demographic surveys, such as the Current Population Survey (CPS) and the American Housing Survey (AHS), will do so in the future. A critical challenge for these surveys is deciding how to "filter" the constant flow of DSF addresses onto the MAF so undercoverage is minimized without adding excessive numbers of duplicate and out-of-scope addresses to their sampling frames. This paper will examine several filtering issues involving the use of DSF addresses, starting with the census-era MAF and moving forward into the postcensus period. We will present data to illuminate these issues and discuss ideas for future research.

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